Results 11 to 20 of about 1,868,423 (267)
The EMBO Reports, 2012 Omics technologies and the large data sets they produce do not undermine hypothesis-driven research. Rather, they help scientists formulate better and more relevant hypotheses to be put to the test.
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Data-driven trajectory smoothing [PDF]
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2011 Motivated by the increasing availability of large collections of noisy GPS traces, we present a new data-driven framework for smoothing trajectory data. The framework, which can be viewed of as a generalization of the classical moving average technique, naturally leads to efficient algorithms for various smoothing objectives.
Chazal, Frédéric +4 more
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Data-Driven Predictive Maintenance
IEEE Intelligent Systems, 2022 With the growth of 5G networks, the Internet-of-Things is becoming a reality. The advances in networking, machine learning, data analytics, and robotics largely improve industrial processes. Industry 4.0 is a term for the fourth industrial revolution: the digitization and automation of manufacturing [1].
João Gama 0001 +2 more
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BMC Research Notes, 2023 Objective A small electrocardiograph and Holter electrocardiograph can record an electrocardiogram for 24 h or more. We examined whether gender could be verified from such an electrocardiogram and, if possible, how accurate it would be.
Itaru Kaneko, Junichiro Hayano, Emi Yuda
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Data-driven gamification design [PDF]
Proceedings of the 21st International Academic Mindtrek Conference, 2017 Gamification has been attracted much interest, not only in the HCI community, in the last few years. However, there is still a lack of insights and theory on the relationships between game design elements, motivation, domain context and user behavior. In this workshop we want to discover the potentials of data-driven gamification design optimization, e.
Michael Meder +3 more
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On the Data-Driven COS Method [PDF]
SSRN Electronic Journal, 2017 In this paper, we present the data-driven COS method, ddCOS. It is a Fourier-based financial option valuation method which assumes the availability of asset data samples: a characteristic function of the underlying asset probability density function is not required.
Á. Leitao Rodriguez (Álvaro) +3 more
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A computational approach to analyzing climate strategies of cities pledging net zero
npj Urban Sustainability, 2022 Cities have become primary actors on climate change and are increasingly setting goals aimed at net-zero emissions, which warrants closer examination to understand how they intend to meet these goals.
Siddharth Sachdeva +3 more
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International Journal for Equity in Health, 2021 Background COVID-19 has caused almost unprecedented change across health, education, the economy and social interaction. It is widely understood that the existing mechanisms which shape health inequalities have resulted in COVID-19 outcomes following ...
Grant M. A. Wyper +6 more
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Data Driven Ontology Evaluation [PDF]
Proceedings of the Language Resources and Evaluation Conference, 2004 The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a number of problems in evaluating a knowledge artifact like an ontology. We propose in this paper that one approach to ontology evaluation should be corpus or data driven. A corpus is the most accessible form of knowledge and its use allows a measure to be derived of
Brewster, Christopher +3 more
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Data-Driven Problems in Elasticity [PDF]
Archive for Rational Mechanics and Analysis, 2018 Result now covers the two well problem in full generality. Proof simplified.
Conti, S., Müller, S., Ortiz, M.
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